Bayesian interval robust optimization for sustainable energy system planning in Qiqihar City, China-Reference-Cited by-同舟云学术

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Bayesian interval robust optimization for sustainable energy system planning in Qiqihar City, China

Published:2016-11 Issue: Volume:60 Page:357-376
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Dong Cong,Huang Guohe,Cai Yanpeng,Cheng Guanhui,Tan Qian

Funder

Program for Innovative Research Team in University

MOE Key Project Program

Natural Science and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

General Energy,Economics and Econometrics

Reference86 articles.

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2. A novel graphical approach to target CO2 emissions for energy resource planning and utility system optimization;Al-Mayyahi;Appl. Energy,2013

3. Integrated modeling of climate control and air pollution: methodology and results from one-way coupling of an energy–environment–economy (E3MG) and atmospheric chemistry model (p-TOMCAT) in decarburizing scenarios for Mexico to 2050;Barker;Environ. Sci. Pol.,2010

4. Robust truss topology design via semidefinite programming;Ben-Tal;SIAM J. Optim.,1997

5. Robust convex optimization;Ben-Tal;Math. Oper. Res.,1998

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